scholarly journals Use Cases of Real-Time Locating Systems for Factory Planning and Production Monitoring

2021 ◽  
Author(s):  
Alexander Mütze ◽  
Lennart Hingst ◽  
Niklas Eduard Rochow ◽  
Timo Miebach ◽  
Peter Nyhuis
Keyword(s):  
Real Time ◽  
Use Cases ◽  
Factory Planning ◽  
Production Monitoring

scholarly journals Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Ania Syrowatka ◽  
Masha Kuznetsova ◽  
Ava Alsubai ◽  
Adam L. Beckman ◽  
Paul A. Bain ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Real Time ◽  
Scoping Review ◽  
Grey Literature ◽  
Use Cases ◽  
Outbreak Detection ◽  
Response To Treatment ◽  
Pandemic Preparedness ◽  
Modeling Approaches

AbstractArtificial intelligence (AI) represents a valuable tool that could be widely used to inform clinical and public health decision-making to effectively manage the impacts of a pandemic. The objective of this scoping review was to identify the key use cases for involving AI for pandemic preparedness and response from the peer-reviewed, preprint, and grey literature. The data synthesis had two parts: an in-depth review of studies that leveraged machine learning (ML) techniques and a limited review of studies that applied traditional modeling approaches. ML applications from the in-depth review were categorized into use cases related to public health and clinical practice, and narratively synthesized. One hundred eighty-three articles met the inclusion criteria for the in-depth review. Six key use cases were identified: forecasting infectious disease dynamics and effects of interventions; surveillance and outbreak detection; real-time monitoring of adherence to public health recommendations; real-time detection of influenza-like illness; triage and timely diagnosis of infections; and prognosis of illness and response to treatment. Data sources and types of ML that were useful varied by use case. The search identified 1167 articles that reported on traditional modeling approaches, which highlighted additional areas where ML could be leveraged for improving the accuracy of estimations or projections. Important ML-based solutions have been developed in response to pandemics, and particularly for COVID-19 but few were optimized for practical application early in the pandemic. These findings can support policymakers, clinicians, and other stakeholders in prioritizing research and development to support operationalization of AI for future pandemics.

Real-time exception handling—Use cases and response requirements

2012 ◽  
Vol 87 (12) ◽  
pp. 1891-1894 ◽  
Author(s):  
G. Raupp ◽  
V. Mertens ◽  
G. Neu ◽  
W. Treutterer ◽  
D. Zasche ◽  
...  
Keyword(s):  
Real Time ◽  
Exception Handling ◽  
Use Cases

scholarly journals Big Data Usage Patterns in the Health Care Domain: A Use Case Driven Approach Applied to the Assessment of Vaccination Benefits and Risks

2014 ◽  
Vol 23 (01) ◽  
pp. 27-35 ◽  
Author(s):  
S. de Lusignan ◽  
S-T. Liaw ◽  
C. Kuziemsky ◽  
F. Mold ◽  
P. Krause ◽  
...  
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Real Time ◽  
Predictive Analytics ◽  
Regulatory Compliance ◽  
Use Cases ◽  
Data Sources ◽  
Use Case ◽  
Crowd Sourcing ◽  
Big Data Processing

Summary Background: Generally benefits and risks of vaccines can be determined from studies carried out as part of regulatory compliance, followed by surveillance of routine data; however there are some rarer and more long term events that require new methods. Big data generated by increasingly affordable personalised computing, and from pervasive computing devices is rapidly growing and low cost, high volume, cloud computing makes the processing of these data inexpensive. Objective: To describe how big data and related analytical methods might be applied to assess the benefits and risks of vaccines. Method: We reviewed the literature on the use of big data to improve health, applied to generic vaccine use cases, that illustrate benefits and risks of vaccination. We defined a use case as the interaction between a user and an information system to achieve a goal. We used flu vaccination and pre-school childhood immunisation as exemplars. Results: We reviewed three big data use cases relevant to assessing vaccine benefits and risks: (i) Big data processing using crowd-sourcing, distributed big data processing, and predictive analytics, (ii) Data integration from heterogeneous big data sources, e.g. the increasing range of devices in the “internet of things”, and (iii) Real-time monitoring for the direct monitoring of epidemics as well as vaccine effects via social media and other data sources. Conclusions: Big data raises new ethical dilemmas, though its analysis methods can bring complementary real-time capabilities for monitoring epidemics and assessing vaccine benefit-risk balance.

The Development of Production Monitoring Systems

1988 ◽  
Vol 202 (3) ◽  
pp. 177-184
Author(s):  
E T Ososanya ◽  
I T Franks
Keyword(s):  
Real Time ◽  
Computer Technology ◽  
Manufacturing Systems ◽  
Monitoring Systems ◽  
Manufacturing Plant ◽  
Considerable Potential ◽  
Development System ◽  
Plant Operations ◽  
On Line ◽  
Production Monitoring

Computer technology has given manufacturers the opportunity to monitor, on-line and in real-time, a wide variety of manufacturing systems. Such monitoring systems have considerable potential for expansion and development but need to take account of the special characteristics of particular manufacturing systems and how the information is to be used to best effect. This paper outlines the use of monitoring in the broad context of manufacturing plant operations and describes the design of a development system that will facilitate research into the effective application and improvement of monitoring systems.

scholarly journals Real-Time Intelligent Production Monitoring of a North Sea Asset

2010 ◽  
Author(s):  
Ruud Van Der Linden ◽  
Hans Reijn ◽  
Esteban Munoz ◽  
Frans de Wolff ◽  
Walter Renes
Keyword(s):  
Real Time ◽  
North Sea ◽  
Production Monitoring
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